Problem Sepsis, a life-threatening condition, accounts for the deaths of millions of people
worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and …

Aims Heart failure (HF) is one of the most frequent diagnoses for 30-day readmission after
hospital discharge. Nurses have role in reducing unplanned readmission and providing …

Since most patients with heart failure are re-admitted to the hospital, accurately identifying
the risk of re-admission of patients with heart failure is important for clinical decision making …

A hospital readmission is when a patient who was discharged from the hospital is admitted
again for the same or related care within a certain period. Hospital readmissions are a …

ICU readmission is usually associated with an increased number of hospital death.
Predicting readmission helps to reduce such risks by avoiding early discharge, providing …

Hospital readmissions are a major concern for healthcare leaders, policy makers, and
patients, resulting in adverse health outcomes and imposing an increased burden on …

Contrary to event traces considered in traditional process mining literature, this paper
addresses the problem of optimal process mining of traces of events and attributes …

To investigate the factors that influence readmissions in patients with acute non-ST elevation
myocardial infarction (NSTEMI) after percutaneous coronary intervention (PCI) by using …

Background Interest in the application of deep learning (DL) in critical care medicine (CCM)
is growing rapidly. However, comprehensive bibliometric research that analyze and …

Objective To represent a patient record with both time-invariant and time-varying features as
a single vector using an end-to-end deep learning model, and further to predict the kidney …